A multifunctional head-mounted intelligent fire protection system and its control method

Abstract

The invention discloses a multifunctional head-mounted intelligent fire protection system and a control method thereof. The invention adopts an anti-seismic platform to eliminate the high-frequency vibration during the firefighters' movement, and the ultrasonic sensor compensates the lack of depth information perception of the infrared camera, and then calculates the three-dimensional physical environment and temperature field distribution in the fire scene environment through a fusion algorithm; at the same time, it adopts The combination of GPS, inertial measurement sensor and magnetic field sensor integrates inertial motion information, magnetic field information and position and velocity information, and can accurately obtain information such as position, speed and attitude related to nodes, so as to assist in accurately establishing the position in the entire fire scene environment and orientation, and integrate each node to accurately establish the three-dimensional physical environment and temperature field distribution of the entire fire scene environment; combined with historical data, the optimal action strategy is obtained; the invention accurately senses the fire scene environment, quickly analyzes the fire situation, and can intelligent Decision-making, so as to realize the self-protection of firefighters and efficient rescue and fire fighting.

Description

technical field [0001] The invention relates to the field of fire-fighting equipment, in particular to a multifunctional head-mounted intelligent fire-fighting system and a control method thereof. Background technique [0002] With the development of science and technology, people have put forward higher requirements for the efficiency and success rate of fire rescue. Traditional fire rescue equipment has a single function and low rescue efficiency, which cannot meet the high requirements for firefighters' rescue capabilities today. In the fire environment, traditional handheld search and rescue equipment can assist firefighters to find people trapped in the fire, but it has a single function, and the hand-held equipment for firefighters is inconvenient to move, and the sensor used in this type of equipment is single, with limited functions and weak search and rescue capabilities; In the rescue incidents, the safety of firefighters is a matter of great importance, but the ex...

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Problems solved by technology

[0002] With the development of science and technology, people have put forward higher requirements for the efficiency and success rate of fire rescue. Traditional fire rescue equipment has a single function and low rescue efficiency, which cannot meet the high requirements for firefighters' rescue capabilities today.

In the fire environment, traditional handheld search and rescue equipment can assist firefighters to find people trapped in the fire, but it has a single function, and the hand-held equipment for firefighters is inconvenient to move, and the sensor used in this type of equipment is single, with limited functions and weak search and rescue capabilities; In the rescue incidents, the safety of firefighters is a matter of great importance, but the existing search and rescue equipment cannot provide the functions of judging the overall fire trend in the fire scene environment and preventing problems before they happen; The various rescue plans are judged by the experience of firefighters. The fire environment is very complicated, and firefighters will inevitably have insufficient experience and misjudgment, which will bring great difficulties to fire search and rescue work.

[0003] In the prior art, infrared cameras are used to sense the on-site temperature field environment and obtain three-dimensional information on the temperature field distribution. Since a single camera can only collect plane information but not depth information, although the multi-camera method can obtain field of view depth information, it will greatly increase Increase system complexity and reduce system reliability

[0004] In the prior art, although GPS is installed in the firefighting helmet for positioning firefighters in the fire scene, and then the infrared camera senses the fire scene environment, but GPS can only complete positioning and speed measurement, and cannot obtain the current posture and orientation of firefighters. In the fire scene environment, the attitude is different, and the images captured by the infrared camera are not the same. There is no orientation information compensation, and the images collected by the infrared camera can only be processed by the optical flow processing algorithm. This algorithm will cause the image to be distorted due to the lack of an external reference angle as a reference. Larger errors occur in the process of processing

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